app.py

import os
import sys
import cv2
import uuid
from PIL import Image
import gradio as gr
from pathlib import Path 
from zipfile import ZipFile
from huggingface_hub import (create_repo,get_full_repo_name,upload_file,CommitOperationAdd,HfApi)
uid = uuid.uuid4()

token_self = os.environ['HF_TOKEN']

models =[
    "",
    "CompVis/stable-diffusion-v1-4",
    "runwayml/stable-diffusion-v1-5",
    "prompthero/openjourney",
    "stabilityai/stable-diffusion-2-1",
    "stabilityai/stable-diffusion-2-1-base",
    "SG161222/Realistic_Vision_V1.4",
    "Linaqruf/anything-v3.0",
    "eimiss/EimisAnimeDiffusion_1.0v",
    "nitrosocke/Nitro-Diffusion",
    "wavymulder/portraitplus",
    "22h/vintedois-diffusion-v0-1",
    "dreamlike-art/dreamlike-photoreal-2.0",
    "dreamlike-art/dreamlike-diffusion-1.0",
    "wavymulder/Analog-Diffusion",
    "nitrosocke/redshift-diffusion",
    "claudfuen/photorealistic-fuen-v1",
    "prompthero/openjourney-v2",
    "johnslegers/epic-diffusion",
    "nitrosocke/Arcane-Diffusion",
    "darkstorm2150/Protogen_x5.8_Official_Release",

]
current_model=models[5]

models2=[
    gr.Interface.load(f"models/{models[1]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[2]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[3]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[4]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[5]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[6]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[7]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[8]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[9]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[10]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[11]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[12]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[13]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[14]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[15]}",live=True,preprocess=True),   
    gr.Interface.load(f"models/{models[16]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[17]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[18]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[19]}",live=True,preprocess=True),
    gr.Interface.load(f"models/{models[20]}",live=True,preprocess=True),
      

]

def slide_fn(val):
    im =(f'tmpim22-{uid}.png') 

    v=int(val)
    img1 = Image.open(im)
    #img1.thumbnail((500,500), Image.Resampling.LANCZOS)
    #ww=500
    #hh=int(500*0.5625)
    img2 = img1.crop((0,0+v,500,280+v))
    img2.save(f'tmpim2-{uid}.png')    
    return img2

def make_files(t_space,t_title,t_description=None,t_name=None,t_redirect=None,t_image=None,t_image_url=None,token=None):
    if t_description == None:
        t_description = f'Embedded App'
    if t_redirect == None:
        t_redirect = t_space
    if t_name == None:
        t_name = t_space.split("//",1)[1].split(".",1)[0]
    #https://omnibus-social-card-maker-dl.hf.space
    print (t_name)
    model_id=t_name
    files=[]
    if t_image_url != None and t_image_url != "" and t_image==None:
        t_image=t_image_url
        img1 = Image.open(t_image)
        img1.thumbnail((500,500), Image.Resampling.LANCZOS)
        img1.save(f'tmpim-{uid}.png')
        output_pro=cv2.imread(f'tmpim-{uid}.png')
        #output_pro2=cv2.imread(f'tmpim2-{uid}.png')
        t_image2=output_pro.crop((0,140,500,140))

        cv2.imwrite("card_im.png",output_pro)
        cv2.imwrite("card_im_crop.png",t_image2)
        files.append("card_im.png")
        files.append("card_im_crop.png")
        #t_image = "card_im.png"
        t_image2 = "card_im_crop.png"
        print(f"Using image URL {t_image}")
        pass

    elif t_image != None:
        img1 = Image.open(t_image)
        img1.thumbnail((500,500), Image.Resampling.LANCZOS)
        img1.save(f'tmpim-{uid}.png')
        output_pro=cv2.imread(f'tmpim-{uid}.png')
        output_pro2=cv2.imread(f'tmpim2-{uid}.png')

        cv2.imwrite("card_im.png",output_pro)
        cv2.imwrite("card_im_crop.png",output_pro2)
        files.append("card_im.png")
        files.append("card_im_crop.png")
        t_image = "card_im.png"
        t_image2 = "card_im_crop.png"

        pass 
        
    else: 
        print("Default Image")
        t_image="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png"
        img1 = Image.open(t_image)
        img1.thumbnail((500,500), Image.Resampling.LANCZOS)
        img1.save(f'tmpim-{uid}.png')
        output_pro=cv2.imread(f'tmpim-{uid}.png')
        #output_pro2=cv2.imread(f'tmpim2-{uid}.png')
        t_image2=output_pro.crop((0,140,500,140))

        cv2.imwrite("card_im.png",output_pro)
        cv2.imwrite("card_im_crop.png",t_image2)
        files.append("card_im.png")
        files.append("card_im_crop.png")
        t_image = "card_im.png"
        t_image2 = "card_im_crop.png"
        pass
        
    try:
        api_url = f'https://huggingface.co/api/spaces/{model_id}'
        t_iframe = t_space
        t_link3= f"/masto.html"
        t_link2= f"/gab.html"
        t_link = f"/ai.html"
        t_space = f"/back.html"
        t_space2 = f"/back_gab.html"

        
########## norm 
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image)
        app = app.replace("$redirect", t_redirect)

        with open("ai.html", "w") as f:
            f.write(app)
        files.append("ai.html")

######## gab
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space2)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image2)
        app = app.replace("$redirect", t_redirect)

        with open("gab.html", "w") as f:
            f.write(app)
        files.append("gab.html")

######## masto
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image2)
        app = app.replace("$redirect", t_redirect)

        with open("masto.html", "w") as f:
            f.write(app)
        files.append("masto.html")
            

##################
        with open("template/front.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)

        with open("index.html", "w") as f:
            f.write(app)
        files.append("index.html")

######### norm    
        with open("template/back.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)
        app = app.replace("$pad", "100%")
        with open("back.html", "w") as f:
            f.write(app)
        files.append("back.html")

####### gab
        with open("template/back.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)
        app = app.replace("$pad", "56%")
        with open("back_gab.html", "w") as f:
            f.write(app)
        files.append("back_gab.html")


        if t_name == None or t_name =="":
            t_name = t_iframe.split("www.", 1)[1].replace(".","_").replace("/", "-")
        with ZipFile(f"{t_name}.zip", "w") as zipObj:
            for idx, file in enumerate(files):
                zipObj.write(f'{file}')         
        files.append(f'{t_name}.zip')
        
        
        
        return (files)
    
        
    except Exception as e:
        print (e)
        return None

def build_space(t_space,t_title,t_description=None,t_name=None,t_redirect=None,t_image=None,t_image_url=None,token=None):

    if t_description == None or t_description == "":
        t_description = f'Embedded App'
    if t_redirect == None or t_redirect =="":
        t_redirect = t_space
    if t_name == None or t_name =="":
        print (t_space)
        t_name = t_space.split("//",1)[1]
        print (t_name)
        t_name = t_name.strip(".hf.space")
        print (f't_name::{t_name}')

    
    model_id=t_name
    #model_id="omnibus/fff"
    if token==None or token=="":
        token = token_self
    else:
        token = token
        pass
    api = HfApi(token=token)
    repo_name = get_full_repo_name(model_id=model_id, token=token)

    try:
        print(t_space.rsplit('.hf', 1)[-1])
        if t_space.rsplit('.hf', 1)[-1] == ".space":        
            repo_url = api.create_repo(
                repo_id=model_id,
                repo_type="space",
                space_sdk="static",
                private=False,
            )
            print(f"""Space Built at {repo_name}""")
        else:
            model_id=None
            repo_name=None
            t_space=None
            t_image=None
            t_image_url=None
            api=None
            pass
            return gr.HTML.update(f"""Invalid Direct URL: must be a Huggingface Space<br>Be sure URL is in lowercase""")  
    except Exception as e:
        return gr.HTML.update(f"""{str(e)}""")
    
    if t_image_url != None and t_image_url != "" and t_image==None:
        t_image=t_image_url
        print(f"Using image URL {t_image}")
        pass
    elif t_image != None:
        img1 = Image.open(t_image)
        img1.thumbnail((500,500), Image.Resampling.LANCZOS)
        img1.save(f'tmpim-{uid}.png')
        output_pro=cv2.imread(f'tmpim-{uid}.png')
        output_pro2=cv2.imread(f'tmpim2-{uid}.png')

        cv2.imwrite(f"./img-{uid}.png",output_pro)
        cv2.imwrite(f"./img2-{uid}.png",output_pro2)
        try: 
            api.upload_file(
            path_or_fileobj=f"./img-{uid}.png",
            path_in_repo="card_im.png",
            repo_id=repo_name,
            token=token,
            repo_type="space",
            )
            t_image = f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/card_im.png"
            os.remove(f"./img-{uid}.png")

            print(f"Image Uploaded to: {t_image}")
        except Exception as e:
            return gr.HTML.update(f"""{str(e)}""")       
        try: 
            api.upload_file(
            path_or_fileobj=f"./img2-{uid}.png",
            path_in_repo="card_im_crop.png",
            repo_id=repo_name,
            token=token,
            repo_type="space",
            )
            t_image2 = f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/card_im_crop.png"
            os.remove(f"./img2-{uid}.png")

            print(f"Image Uploaded to: {t_image2}")
        except Exception as e:
            return gr.HTML.update(f"""{str(e)}""")   
            
        pass 
    else: 
        print("Default Image")
        t_image="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png"
        pass
        
    try:
        api_url = f'https://huggingface.co/api/spaces/{model_id}'
        t_iframe = t_space
        t_link3= f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/masto.html"
        t_link2= f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/gab.html"
        t_link = f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/ai.html"
        t_space = f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/back.html"
        t_space2 = f"https://{repo_name.replace('/','-').replace('_','-')}.static.hf.space/back_gab.html"

        
########## norm 
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image)
        app = app.replace("$redirect", t_redirect)

        with open("ai.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="ai.html",
            path_in_repo="ai.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("ai.html")
######## gab
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space2)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image2)
        app = app.replace("$redirect", t_redirect)

        with open("gab.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="gab.html",
            path_in_repo="gab.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("gab.html")        
######## masto
        with open("template/ai.html", "r") as f:
            app = f.read()
        app = app.replace("$space", t_space)
        app = app.replace("$title", t_title)
        app = app.replace("$description", t_description)
        app = app.replace("$image", t_image2)
        app = app.replace("$redirect", t_redirect)

        with open("masto.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="masto.html",
            path_in_repo="masto.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("masto.html")              

        with open("template/front.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)

        with open("front.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="front.html",
            path_in_repo="index.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("front.html")
        
######### norm    
        with open("template/back.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)
        app = app.replace("$pad", "100%")
        # 3. save the new app.py file
        with open("back.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="back.html",
            path_in_repo="back.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("back.html")
####### gab
        with open("template/back.html", "r") as f:
            app = f.read()
        app = app.replace("$iframe", t_iframe)
        app = app.replace("$pad", "56%")
        # 3. save the new app.py file
        with open("back_gab.html", "w") as f:
            f.write(app)

        api.upload_file(
            path_or_fileobj="back_gab.html",
            path_in_repo="back_gab.html",
            repo_id=repo_name,
            token=token,
            repo_type="space",
        )
        os.remove("back_gab.html")        

        return gr.HTML.update(f'''<center>Your Interactive Twitter Card Embed Link is:<br><a href="{t_link}" target="_blank">{t_link}</a><br>
                                  Your Interactive Mastodon Card Embed Link is:<br><a href="{t_link3}" target="_blank">{t_link3}</a><br>
                                  Your Interactive Gab Card Embed Link is:<br><a href="{t_link2}" target="_blank">{t_link2}</a><br>
                                  <center><br>''')
    except Exception as e:
        return gr.HTML.update(f"""{str(e)}""")

def d_im():
    output="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png"
    return output
def up_c(im,c_slider):
    img1 = Image.open(im)
    img1.thumbnail((500,500), Image.Resampling.LANCZOS)
    img1.save(f'tmpim22-{uid}.png') 
    out = slide_fn(c_slider)
    return out

text_gen=gr.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
#im_gen=gr.Interface.load("spaces/Omnibus/Diffusionator-mod")
def get_prompts(prompt_text):
    gen=text_gen(prompt_text)
    return gen   

def gen_im(prompt,model_choice=5,count=1):
    if count >4:
        count =4
    t=0
    output_list=[]
    while t<int(count):
        proc1=models2[int(model_choice)]
        output1=proc1(prompt)
        output_list.append(output1)
        prompt=f"{prompt} "
        t+=1
    return(output_list)
    
with gr.Blocks() as build_app:
    gr.Markdown("""<center><h1>Interactive Twitter Card Builder</h1></center>""")

    with gr.Row():
        gr.Column(scale=1)
        with gr.Column(scale=3):
            with gr.Accordion("Details",open=False):
                with gr.Tab("Description"):
                        gr.Markdown("""<h7>This space will build an Interactive Twitter Card<br>
                        where Twitter (and other) users can run your Gradio demo<br>
                        right on their Social Media feed.<br><br>
                        *Only works through browser, not Twitter App<br><br>
                        Enter the required information and paste the link that is returned<br>
                        as the only link, along with your message and tags, in your Tweet.<br>
                        When posted, the Interactive Twitter Card should have a Play button<br>
                        which will display the Space you provided.<br><br>
                        Twitter will remember this card associated with the link you post,<br>
                        so any changes will often require a differently named link.<br><br>
                        You can test your link first by omitting your Write token<br>
                        which will assign the default REPO: "portal"<br>(Link: portal-NAME.hf.space)<br><br>
                        This Space is a Demo, and is a Work in Progress<br>
                        No Warranties, Guarantees, or Permissions implied
                        """)
                with gr.Tab("Credits"):
                        gr.Markdown("""<h7><a href='https://huggingface.co/spaces/anzorq/sd-space-creator'>anzorq/sd-space-creator</a><br>""")
                

            with gr.Box():
                option_token = gr.Textbox(label="HF Write Token to write to your REPO", placeholder="Optional")
                t_name = gr.Textbox(label="NAME (Link will be: repo-NAME.hf.space)", placeholder="Optional")                
                t_space = gr.Textbox(label="Direct URL to your Space (https://you-repo-you-space.hf.space)")
                t_title = gr.Textbox(label="Title for Twitter Card")
                t_description = gr.Textbox(label="Short Description for Twitter Card", placeholder="Optional")
                t_redirect = gr.Textbox(label="Redirect URL for Twitter Card Click", placeholder="Optional")
                gr.Markdown("""Image for your Card (min: 300x300 [Square]""")
                t_image_url = gr.Textbox(label="Image URL", placeholder="Optional URL Input")
                t_image = gr.Image(label="Twitter Card Image", type="filepath",interactive=True)
                with gr.Row():
                    def_im = gr.Button("Load Default Image")
                    #gen_im = gr.Button("Generate Image")
                with gr.Accordion("Generated Image Controls", open=False):
                    prompt_input=gr.Textbox(label = "Seed Prompt")
                    with gr.Row():
                        model_name1 = gr.Dropdown(show_label=False, choices=[m for m in models], type="index", value=current_model, interactive=True)
                        count = gr.Number(value=1)

                    with gr.Row():
                        magic_btn=gr.Button("Magic Prompt")
                        gen_btn=gr.Button("Generate Images")
                    gen_im_out=gr.Gallery(columns=2)
                c_image=gr.Image(label="Cropped Image", type="filepath",interactive=False)
                c_slider=gr.Slider(0,220,value=0,step=1,label="Adjust Vertical Crop")
                c_upbtn=gr.Button("Update Crop")
                with gr.Tab("Build"):
                    build_button = gr.Button("Build")
                    output_html = gr.HTML("""""")
                with gr.Tab("Download"):
                    dl_button = gr.Button("Download")
                    files_out = gr.Files()
        gr.Column(scale=1)

    magic_btn.click(get_prompts,prompt_input,prompt_input)
    gen_btn.click(gen_im,[prompt_input,model_name1,count],gen_im_out)
    
    t_image.change(up_c,[t_image,c_slider],c_image)
    c_upbtn.click(slide_fn,c_slider,c_image)
    build_button.click(build_space,[t_space,t_title,t_description,t_name,t_redirect,t_image,t_image_url,option_token],output_html)
    dl_button.click(make_files,[t_space,t_title,t_description,t_name,t_redirect,t_image,t_image_url,option_token],files_out)

    def_im.click(d_im,None,t_image)
build_app.queue(concurrency_count=10).launch()